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# Data Structures and Algorithms Certification Program

Data Structures and Algorithms serve as the foundational pillars of programming. While data structures facilitate the organization and storage of data, algorithms empower us to process this data in a coherent manner. Therefore, selecting a high-quality DSA Course is essential for cultivating and augmenting your skills in Data Structures and Algorithms. Through this course, you can not only build a strong foundation but also elevate your mastery of these concepts to an advanced level.

Instructor Led Training  |  Free Course Repeat  |  Placement Assistance  |  Job Focused Projects  |  Interview Preparation Sessions

## Curriculum

1. Introduction to Asymptotic Analysis and Big O Notation
2. Order complexity analysis
3. Theoretical complexity analysis
4. Time complexity analysis of searching and sorting
5. Theoretical space complexity
6. Space complexity analysis of recursive algorithms

Case study 1: Big (O) of Nested Loop with Addition

Case study 2: Big (O) of Nested Loop with Subtraction

Case study 3: Big (O) of Nested Loop with Multiplication

Case study 4: Nested Loop with Multiplication (Basic)

Case study 5: Nested Loop with Multiplication (Intermediate)

Case study 6: Nested Loop with Multiplication (Advanced)

Case study 7: Nested Loop with Multiplication (Pro)

1. Introduction to Arrays
2. How arrays are stored in memory?
3. Passing arrays to functions
4. Multidimensional arrays
5. Two Pointers
6. Find Maximum in Sliding Window
7. Search a Rotated Array
8. Find the Smallest Common Number
9. Rotate an Array by N Elements
10. Find Low/High Index of a Key in a Sorted Array
11. Move All Zeros to the Beginning of the Array
12. Stock Buy Sell to Maximize Profit
13. Merge an Array With Overlapping Intervals
14. Find Pair With Given Sum in an Array
15. Sort an Array Using Quicksort Algorithm
16. Cyclic Sort (easy)
17. Find the Missing Number (easy)
18. Maximum Sum Subarray of Size K (easy)
19. Smallest Subarray With a Greater Sum (easy)
20. Squaring a Sorted Array (easy)
21. Subsets With Duplicates (easy)
22. Bitonic Array Maximum (easy)
23. Permutations (medium)
24. Triplet Sum to Zero (medium)
25. Triplet Sum Close to Target (medium)
26. Triplets with Smaller Sum (medium)
27. Subarrays with Product Less than a Target (medium)
28. Dutch National Flag Problem (medium)
29. Merge Intervals (medium)
30. Insert Interval (medium)
31. Intervals Intersection (medium)
32. Conflicting Appointments (medium)
33. Ceiling of a Number (medium)
34. Next Letter (medium)
35. Number Range (medium)
36. Search in a Sorted Infinite Array (medium)
37. Minimum Difference Element (medium)
38. Solve N-Queens Problem
39. Find K-Sum Subsets
1. Introduction to strings
2. How strings are stored in memory?
3. Reverse Words in a Sentence
4. Remove Duplicates from a String
5. Remove White Spaces from a String
6. Word Break Problem
7. XML to Tree
8. Find all Palindrome Substrings
9. Regular Expression Matching in String
10. Longest Palindromic Subsequence
11. Longest Palindromic Substring
12. Count of Palindromic Substrings
13. Minimum Deletions in a String to make it a Palindrome
14. Longest Common Substring
15. Longest Common Subsequence
16. Minimum Deletions & Insertions to Transform a String into another
18. Longest Substring with maximum K Distinct Characters (medium)
19. String Permutations by changing case (medium)
20. Balanced Parentheses (hard)
21. Unique Generalized Abbreviations (hard)
22. Longest Substring with Distinct Characters (hard)
23. Longest Substring with Same Letters after Replacement (hard)
24. Boggle
25. Generate all Combinations of Balanced Parentheses
5. Reverse a Singly Linked List
6. Remove Duplicates from a Linked List
7. Delete All Occurrences of a Given Key in a Linked List
8. Sort Linked List Using Insertion Sort
10. Start of LinkedList Cycle (medium)
11. Happy Number (medium)
• Middle of the LinkedList (easy)
• Intersection Point of Two Lists
• Find n'th Node from the End of a Linked List
• Swap Nth Node with Head
• Merge Two Sorted Linked Lists
• Sort a Linked List Using Merge Sort
• Reverse Even Nodes in a Linked List
• Rotate a Linked ListReverse Alternate K Nodes in a  Singly  Linked List
• Copy Linked List with Arbitrary Pointer
• Reverse a Sub-list (medium)
• Reverse every K-element Sub-list (medium)
• Merge K Sorted Lists (medium)
• Kth Smallest Number in M Sorted Lists (Medium)
1. Stack (Implementation)
2. Queue (Implementation)
3. Reversing First k Elements of Queue
4. Implement Stack Using Queues
5. Implement Queue Using Stacks
6. Evaluate Arithmetic Expressions
7. Merge Intervals
8. Longest Valid Parentheses
9. Largest rectangle in histogram
10. Minimum remove to make a valid parentheses
11. Remove duplicate letters
12. Remove k digits
14. Decode string

Searching

1. Linear Search
2. Binary Search
3. Hash table
4. Interpolation Search

Sorting

1. Bubble sort
2. Insertion sort
3. Heap sort
4. Selection sort
5. Merge Sort
6. Quick sort
1. An Introduction to Trees and Basic Tree Properties!
2. What is a Binary Tree?
3. Binary Search Trees
4. N-ary Trees
5. Segment Trees (Segment Interval)
6. Spanning Tree
7. AVL Trees
8. Check if Two Binary Trees are Identical
9. Write an In-Order Iterator for a Binary Tree
10. Iterative In-order Traversal of Binary Tree
11. In-order Successor of Binary Search Tree
12. In-order Successor Binary Search Tree With Parent Pointers
13. Level Order Traversal of Binary Tree
14. Reverse Level Order Traversal (easy)
15. Level Averages in a Binary Tree (easy)
16. Level Order Successor (easy)
17. Zigzag Traversal (medium)
18. Connect Level Order Siblings (medium)
19. Is a Binary Search Tree Valid?
20. Convert Binary Tree to Doubly Linked List
21. Print Tree Perimeter
22. Connect All Siblings of a Binary Tree
23. Serialize/Deserialize Binary Tree
24. Nth Highest Number in Binary Search Tree
25. Mirror Binary Tree Nodes
26. Delete Zero Sum Sub-Trees
27. Convert N-ary Tree to Binary Tree
28. Minimum Depth of a Binary Tree (easy)
29. All Paths for a Sum (medium)
30. Sum of Path Numbers (medium)
31. Path With Given Sequence (medium)
32. Count Paths for a Sum (medium)
33. Find the Median of a Number Stream (medium)
34. Sliding Window Median (hard)
35. Maximize Capital (hard)
1. Introduction to Priority Queues
2. Ways to implement priority queues
3. Introduction to heaps
4. Min-max Heaps
5. Heapify
6. Insert and Delete operations in heaps
7. Implementing priority queues
8. Heap sort
9. Inbuilt Priority Queue
1. What is a Trie?
2. Structure of a Trie
3. Total Number of Words in a Trie
4. Find All Words Stored in Trie
5. List Sort Using Tries
6. Word Formation from a Vector Using Trie
7. Huffman Coding
1. What is a Graph?
2. Types of Graphs
3. Representation of Graphs
4. Directed Acyclic Graphs (DAG)
5. Depth First Search (DFS)
7. Djikstra's Algorithm
8. Floyd-Warshall Algorithm
9. Bellman Ford Algorithm
10. Ford Fulkerson algorithm
11. Detect Cycle in Graph
12. Find a "Mother Vertex" in a Graph
13. Count the number of Edges in an Undirected Graph
14. Check if a Path Exists Between Two Vertices
15. Check if an Undirected Graph is Tree or not
16. Find the Shortest Path between Two Vertices
17. Clone a Directed Graph
18. Minimum Spanning Tree
19. Word Chaining
20. Topological Sort (medium)
23. All Tasks Scheduling Orders (hard)
24. Alien Dictionary (hard)
1. What is Recursion?
2. Direct vs. Indirect Recursion
4. Find the greatest common divisor
5. Check for Prime Number
6. Let's find the total number of vowels
7. Is this String a Palindrome?
8. Sort an Array
9. Shuffle Integers
10. Closest Pair of Points
11. Collect Coins in Minimum Steps
12. Merge a Number of Sorted Arrays
1. Introduction to Dynamic Programming
2. Memoization
3. Fibonacci Numbers
4. Largest Sum Subarray
5. MaxSum Subsequence - Nonadjacent Elements
6. Find Combinations for Game Scoring
7. Coin Change
8. Minimum Coin Change
9. Levenshtein Distance
10. Equal Subset Sum Partition (medium)
11. Subset Sum (medium)
12. Minimum Subset Sum Difference (hard)
13. Longest Subarray with Ones after Replacement (hard)
14. Rod Cutting
15. Strings Interleaving
16. Staircase
17. Unbounded Knapsack
18. Maximum Ribbon Cut
19. House thief
20. Minimum Deletions to Make a Sequence Sorted
21. Palindromic Partitioning
22. Longest Bitonic Subsequence
• Minimum jumps to reach the end
• Minimum jumps with fee
• Number factors
• Equal Subset Sum Partition
• Minimum Subset Sum Difference
• Count of Subset Sum
1. Introduction to System Design Basics
2. Key Characteristics of Distributed Systems
4. Caching
5. Data Partitioning
6. Indexes
7. Proxies
8. Redundancy and Replication
9. SQL vs. NoSQL
10. Consistent Hashing
11. Long-Polling vs WebSockets vs Server-Sent Events
1. Introduction to System Design Patterns
2. Bloom Filters
3. Consistent Hashing
4. Quorum
7. Segmented Log
8. High-Water Mark
9. Lease
10. Heartbeat
11. Gossip Protocol
12. Phi Accrual Failure Detection
13. Split Brain
14. Fencing
15. Checksum
16. Vector Clocks
17. CAP Theorem
18. PACELC Theorem
19. Hinted Handoff
21. Merkle Trees
1. Designing a URL Shortening service like TinyURL
2. Designing Instagram
3. Designing Dropbox
8. Designing an API Rate Limiter
10. Designing a Web Crawler
12. Designing Uber backend
1. Recognizing Behavioral Interview Questions
2. Prior Experience Questions
3. Parsing Prior Experience Questions
4. Sample Prior Experience Questions
5. Hypotheticals
7. Values-Based Questions

## Course Description

#### Certification

Data Structures and Algorithms Certification Program

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## Enroll Now

Structure your learning and get a certificate to prove it.

## Projects

#### Data Structures and Algorithms Certification Program Features

We have seen getting a relevant interview call is not a big challenge in your case. Our placement team consistently works on industry collaboration and associations which help our students to find their dream job right after the completion of training. We help you prepare your CV by adding relevant projects and skills once 80% of the course is completed. Our placement team will update your profile on Job Portals, this increases relevant interview calls by 5x.

Interview selection depends on your knowledge and learning. As per the past trend, the initial 5 interviews is a learning experience of

• What type of technical questions are asked in interviews?
• What are their expectations?
• How should you prepare?

Our faculty team will constantly support you during interviews. Usually, students get job after appearing in 6-7 interviews.

We have seen getting a technical interview call is a challenge at times. Most of the time you receive sales job calls/ backend job calls/ BPO job calls. No Worries!! Our Placement team will prepare your CV in such a way that you will have a good number of technical interview calls. We will provide you interview preparation sessions and make you job-ready. Our placement team consistently works on industry collaboration and associations which help our students to find their dream job right after the completion of training. Our placement team will update your profile on Job Portals, this increases relevant interview call by 3x

Interview selection depends on your knowledge and learning. As per the past trend, the initial 8 interviews is a learning experience of

• What type of technical questions are asked in interviews?
• What are their expectations?
• How should you prepare?

Our faculty team will constantly support you during interviews. Usually, students get job after appearing in 6-7 interviews.

We have seen getting a technical interview call is hardly possible. Gyansetu provides internship opportunities to non-working students so they have some industry exposure before they appear in interviews. Internship experience adds a lot of value to your CV and our placement team will prepare your CV in such a way that you will have a good number of interview calls. We will provide you interview preparation sessions and make your job-ready. Our placement team consistently works on industry collaboration and associations which help our students to find their dream job right after the completion of training and we will update your profile on Job Portals, this increases relevant interview call by 3x

Interview selection depends on your knowledge and learning. As per the past trend, initial 8 interviews is a learning experience of

• What type of technical questions are asked in interviews?
• What are their expectations?
• How should you prepare?

Our faculty team will constantly support you during interviews. Usually, students get job after appearing in 6-7 interviews.

Yes, a one-to-one faculty discussion and demo session will be provided before admission. We understand the importance of trust between you and the trainer. We will be happy if you clear all your queries before you start classes with us.

We understand the importance of every session. Sessions recording will be shared with you during Data Structures and Algorithms Training and in case of any query, faculty will give you extra time to answer your queries.

Yes, we understand that self-learning is most crucial and for the same we provide students with PPTs, PDFs, class recordings, lab sessions, etc, so that a student can get a good handle of these topics.

We provide an option to retake the Data Structures and Algorithms course within 3 months from the completion of your training, so that you get more time to learn the concepts and do the best in your interviews.

We believe in the concept that having less students is the best way to pay attention to each student individually and for the same our batch size varies 5-7 students.

Yes, we have batches available on weekends. We understand many students are in jobs and it's difficult to take time for training on weekdays. Batch timings need to be checked with our counsellors.

Yes, we have batches available on weekdays but in limited time slots. Since most of our trainers are working, so either the batches are available in morning hours or in the evening hours. You need to contact our counsellors to know more on this.

Total duration of the Data Structures and Algorithms Training course is 120 hours (60 Hours of live-instructor-led training and 60 hours of self-paced learning).

You don’t need to pay anyone for software installation, our faculties will provide you all the required softwares and will assist you in the complete installation process.